3 of 3 Contract Data Engineering Jobs in the City of London

Senior Data Engineer - Databricks ( Outside IR35) Location: London Day rate: £700pd - £750pd Outside IR35 Our client a prominent financial institution is searching for an experienced Data Engineer with strong Python, Scala, Databricks Spark and Pyspark Data Engineering skills. We are looking for someone who is not … just a veteran in infrastructure rollouts but someone that can own, build, and deliver solutions in distributed environments. Preferred skills/experience: 8yrs + Data Engineering Strong hands on coding experience with Python, Scala, Databricks Spark and Pyspark Demonstrable experience coding in distributed environments (i.e. like Databricks Sparks More ❯

Job Title: Senior Data Engineer Location: London or Telford Contract: 6 months Clearance Requirement: Must hold or be eligible to obtain SC clearance About the Role We are seeking a Senior Data Engineer to join our team on a permanent basis, working on a high-profile UK Government … programme. You'll apply your expertise in data engineering and software development to solve complex data challenges, supporting critical infrastructure and decision-making through scalable, secure, and innovative data solutions. This is a fantastic opportunity to work with modern technologies in a collaborative and mission-driven … environment, with the freedom to innovate and grow your skills. Key Responsibilities Design and lead implementation of data pipelines from operational systems to BI and analytics platforms Build, maintain, and operate scalable data environments and real-time data streaming systems Diagnose and optimise performance and reliability issues More ❯

Full stack Microsoft Azure Data Engineer/Developer 7 months Remote Inside IR35 - Umbrella only Role Overview: We are seeking a hands-on Microsoft Databricks Developer with expertise in data engineering best practices. The ideal candidate will have strong experience in Git/DevOps integration, Unity Catalog … and performance optimization for Databricks data transformation workloads. Key Responsibilities: Develop and optimize Databricks data pipelines for efficient data transformation. Implement code version management using Git and DevOps integration. Configure and manage Unity Catalog for secure and scalable data governance. Enhance performance optimization in Databricks workloads … ensuring efficient resource utilization. Collaborate with data engineers and architects to design scalable solutions. Ensure adherence to best practices in Databricks data engineering. Required Skills & Experience: Hands-on experience with Microsoft Databricks and Apache Spark. Strong knowledge of Git, DevOps integration, and CI/CD pipelines. Expertise in More ❯